A Cholesky decomposition based massive MIMO uplink detector with adaptive interpolation

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Abstract

An adaptive uplink detection scheme for a Massive MIMO (MaMi) base station serving up to 16 users is presented. Considering user distribution in a cell, selective matched filtering (MF) is proposed for non-interference limited users and a Cholesky decomposition (CD) based zero-forcing (ZF) detector is implemented for the remaining users. Channel conditions such as coherence bandwidth are exploited to lower computational complexity by interpolating CD outputs. Performance evaluations on measured MaMi channels indicate a reduction in computation count by 60 times with a less than 1 dB loss at an uncoded bit error rate of 10-3. For the CD, a reconfigurable processor optimized for 8×8 matrices with block decomposition extension to support up to 16×16 matrices is presented. Circuit level optimizations in 28 nm FD-SOI resulted in an energy of 1.4 nJ/CD at 400 MHz, and post-layout simulations indicate a 50% reduction in power dissipation when operating with the proposed interpolation based detection scheme compared to traditional ZF detection.

Details

Authors
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Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Telecommunications
Original languageEnglish
Title of host publicationIEEE International Symposium on Circuits and Systems
Subtitle of host publicationFrom Dreams to Innovation, ISCAS 2017 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467368520
StatePublished - 2017 Sep 25
Peer-reviewedYes
Event50th IEEE International Symposium on Circuits and Systems, ISCAS 2017 - Baltimore, United States

Conference

Conference50th IEEE International Symposium on Circuits and Systems, ISCAS 2017
CountryUnited States
CityBaltimore
Period2017/05/282017/05/31